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Apply Before

10/10/2018

Batch - Feb 2019
Duration 5

Months

Start - 24th Feb 19
3 hours every Saturday from 7.00 pm to 10.00 pm IST

Learn to crunch data for more efficient decision-making

Data Analytics & Machine learning are growing exponentially and are going to change the decision making processes in companies. Based on the prediction by IBM, there will be around 2.7 million job postings by 2020 in this domain. This Machine learning course is designed to meet this requirement and has applications for various areas of management including Economics & Finance, Marketing, Operations, Strategy, Leadership, Information System (IT) and many more. Machine Learning is at the intersection of statistics, artificial intelligence and computer science. Machine learning course will help professionals develop a fundamental understanding of machine learning and derive practical solutions using predictive analytics. It introduces the concepts related to Supervised and Unsupervised machine learning from basic regression and classification to decision trees and clustering. The course will make use of R/Python for the hands-on implementation of the models.

Certificate from IIM Kashipur

Opportunity to earn a Certificate of Completion from IIM Kashipur.

Career in an exponentially growing domain

Growth of approx. 2.7 million job postings in Data Analytics & Machine Learning by 2020, predicted by IBM

Learn to crunch data and derive inferences

Make business decision process more efficient across areas of management including Finance, Marketing, Strategy, Leadership, IT etc.

Hands-on exposure to popular Machine Learning tools

The course will make use of R & Python for the hands-on implementation of the models

In-depth coverage of Machine Learning

Designed to equip professionals with in-depth understanding of developing, testing, and applying predictive algorithms to achieve business goals

Knowledge imparted through demonstrations & class exercises

Develop a fundamental understanding of machine learning and derive practical solutions using predictive analytics

Duration 5

Months

Start - 24th Feb 19
3 hours every Saturday from 7.00 pm to 10.00 pm IST

Who should attend

Eligibility

Education
  • For Indian Participants – Graduates from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline but with formal education in mathematics or statistics.
  • For International Participants – Graduation or equivalent degree with formal education in mathematics or statistics, from any recognized University or Institution in their respective country.
  • Proficiency in English, spoken & written is mandatory.
Work Experience
  • Minimum 1 year of work experience.

Faculty

Dr. Dilip Kumar

Assistant Professor, Accounting and Finance
IIM Kashipur

Dr. Dilip Kumar holds PhD in Quantitative Finance and has been involved in research related to quantitative data analytics and machine learning in finance. Some of his research works significantly contribute to the body of knowledge in quantitative finance. He has been involved in various MDPs related to financial risk analysis and data analytics. Before joining IIM Kashipur, he was a faculty member in the financial engineering department of IFMR Chennai.

Certification

On the full payment of course fees and upon satisfying the requisite attendance and evaluation criteria, participants will be awarded a Certificate of Completion from IIM Kashipur. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Certificate of Participation.

Talentedge Way

  • 95 %
    Completion rate
  • 92 %
    Satisfaction Score
  • 78 %
    Referability
  • Weekend classes

    Scheduled classes at convenient timings for working professionals

  • Live & Interactive Digital Learning

    Live tutored classes not recorded sessions

  • Case study learning

    Hands-on learning using case studies, projects and simulations

  • One on one interactions

    All classes are delivered live by the eminent faculty encouraging interactive discussions and query resolution

  • Mobile platform enabled

    Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers

  • Classroom based learning

    Interactive in session peer to peer and with faculty discussions for in-depth learning against isolated learning of recorded sessions

Duration 5

Months

Start - 24th Feb 19
3 hours every Saturday from 7.00 pm to 10.00 pm IST

Pedagogy

The primary method of instruction will be through LIVE lectures that will be delivered online via internet to participant desktops/laptops or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur. The course will be primarily taught though a combination of class exercises, presentations, take-home exercises and hand on implementation on tools. Throughout the duration of the course, students will have the flexibility to reach out to the Professors, real time during the class or offline via Talentedge’s SLIQ platform to raise questions and clear their doubts.

Assessments

There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, class exercises or other objective/subjective assessments. The evaluations are designed ensure continuous student engagement with the course and encourage learning. Participants meeting the requisite attendance criteria, successfully completing and submitting the assignments and clearing the end course examination will be awarded a Certificate of Completion. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Certificate of Participation.

Institute

About IIM Kashipur

The Indian Institute of Management Kashipur is a newer entrant in the elite league of IIMs. The institute aims to nurture and train managers and leaders with a social conscience and the ability to deliver performance and attain excellence across cultures, functions and geographies. The curriculum at IIM Kashipur reflects this diversified educational approach, as does the intellectual capital of its faculty, which is dedicated to achieve the objectives.

IIM Kashipur was established in July 2011, under the mentorship of IIM Lucknow. Its relative newness gives it the flexibility to quickly respond to the rapidly changing global socio-economic conditions and to efficiently adapt the best practices of leading business schools. The rigorous curriculum seeks to instill a passion for knowledge and ability to apply that knowledge to real life scenarios

The institute is located in one of the most densely industrialized regions in the country, with over 180 industries having plants in and around the region and many more coming up. This places the institute, a member of AACSB, in an advantageous position when it comes to ‘Learning by Doing’ via frequent industry interactions and live projects.

  • 0
    Established in July 2011, under the mentorship of IIM Lucknow
  • 0
    acres campus situated in serene surroundings
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    IIM Kashipur is a member of Association to Advance Collegiate Schools of Business.

Syllabus

  •  Descriptive Statistics, Laws and Axioms of     Probability, Probability Distribution, Hypothesis     Testing and Scores
  • Hands-on practice
  • Basics of Python (Python Crash Course)
  • Pandas for importing data and pre-processing
  • Numpy for Statistical Analysis
  • Matplotlib for Data Visualization
  • Hands-on practice
  • R crash course
  • Hands-on practice
  • Linear Regression: Single and Multiple Linear Regression, Modelling and Prediction, Gradient Descent Optimization, Stochastic Gradient Descent Optimization, coefficient of determination, significance tests, residual analysis, confidence and prediction intervals, categorical variables, heteroscedasticit, multicol-linearit, outliers, auto-regression and transformation of variables.
  • Polynomial Regression
  • Loss Function, Bias-Variance tradeoff, Hyper-parameter, Cross- validation, Sparsity, Overfitting, Model selection
  • Ridge, Lasso and Elastic Net
  • Hands-on practice in Python/R
  • Linear Classification: Logistic Regression, Implementation and optimization, estimation of probability using logistic regression, Deviance, Wald test, Hosmer Lemeshow test, Stochastic Gradient descent, Optimal parameters using grid search, Classification Metrics, ROC Curve, Feature selection in logistic regression
  • Naïve Bayes: Bayes Theorem, Naïve Bayes Classifier
  • K Nearest Neighbor Algorithm (KNN)
  • Support Vector Machine: Linear Support Vector Machine, Kernel-based Classification, Controlled Support Vector Machine, Support Vector Regression
  • Decision Tree: Training and Visualizing Decision Tree, CART Training algorithm, Impurity measures, Gini Impurity index, Cross-entropy impurity index, Misclassification impurity index, feature importance in tree
  • Hands-on practice in Python/R
  • Ensemble Techniques: Bagging and Boosting
  • Random Forests, Feature importance
  • Stacking
  • Hands-on practice in Python/R
  • Stationarity, Autocorrelation, Moving average, exponential smoothing, Trend, cyclical and seasonality components
  • Implementation of various time series models for modelling and predicting (Autoregressive Model, Moving Average Model, Autoregressive Moving Average Models).
  • Hands-on practice in R
  • K Means clustering
  • Hierarchical clustering
  • Hands-on in Python/R

Fee Schedule

For Indian Residents

Rs. 70,000+ GST*

Payment Deadline: 10/10/2018
For International Students

USD: 1600

Payment Deadline: 10/10/2018
Instalment Schedule
1st Instalment 2nd Instalment 3rd Instalment
1st Instalment
Rs. 30,000 +
GST*
USD 650
Payment Deadline: 10/10/2018
xxx
2nd Instalment
Rs. 15,000 +
GST*
USD 400
Payment Deadline: 20/02/2019
xxx
3rd Instalment
Rs. 25,000 +
GST*
USD 550
Payment Deadline: 15/05/2019
xxx
Effective 01 July 2017, the prevailing Service Tax will be replaced by GST at an effective rate of 18%

All applications for this course must be made through an Online Application Form.

In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee though Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, REGID, Course Name and Contact number at the back of your Demand Draft/Pay Order.

All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to:

Student Relationship Manager,
TALENTEDGE,
21, Institutional Area,
Sector 32, Gurgaon 122001, Haryana, INDIA.

The course fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.

  • A Late fee of Rs.1000 + GST will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
  • A Late fee of Rs.2500 + GST will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
  • If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Rejoining Fee of Rs.5000 + GST will be charged to the Participant if the Participant wishes to continue with and complete the course and rejoining can be accommodated as per course guidelines.

Cancellation by the Participant

  • Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before date of course commencement whichever is earlier.
  • In event that such valid requests for refund of fees are received, the application money shall be refunded after deducting a penalty of Rs.5000 and applicable taxes for Indian participants & USD 125 for foreign participants.
  • In all other cases, no refund shall be made.
  • A participant may opt for rescheduling to a later batch of the same course / another course of prior to commencement of the course. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the course. The amounts paid by the participant shall be considered as advance payment towards the next batch / alternative course. Further, the participant shall have to pay an administrative charge of Rs.5000 plus applicable taxes (Indian participants) or USD 125 (foreign participants) for facilitating such rescheduling.

Cancellation by Talentedge & Institute

Talentedge & the Institute, reserve the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.

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